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Built in Gdańsk, Poland

Practical AI products for repetitive work.

Dimantika builds software for high-friction workflows — the kind of work people do every day, manually, until something finally makes it go faster. Two products in active development, one engineering principle.

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2 products in active developmentGdańsk · 2024
Our products

Two products, one way of building.

We ship software for teams and creators who spend too many hours on work that shouldn't take hours. Each product is a focused bet on a single, repetitive workflow.

ViralFaceless.io

BETA

Text to short-form video — script, voiceover, visuals, captions, and music, in one workflow.

One prompt. Done.
  • Full pipeline: script, voice, visuals, captions, music in one pass
  • Built for faceless YouTube, TikTok, Reels creators
  • Batch generation — publish a week of shorts in an hour
Accepting users Learn more

CompliCode

DEV

Open-source license compliance for engineering teams — scan, detect, and resolve legal risk in your dependencies.

~/my-app $ complicode scan
✓reactMIT
✓typescriptApache-2.0
!mp3-durationGPL-3.0 · copyleft risk
~minimistISC · notice required
Scanned 1,247 packages · 3 flagged · 2.1s
  • Scans repos & package manifests — npm, pip, cargo, go mod
  • Surfaces copyleft, attribution, and policy violations early
  • Open-source core, built for software teams at any scale
In development Learn more
Why Dimantika

One principle runs through both products.

Automate repetitive, high-friction work that people actually do. Not the hypothetical workflows in a pitch deck — the ones where the same human clicks the same sequence, five days a week.

01

Automate the tedious

We pick workflows where the unit economics already make sense. If it takes a person an hour today and a user will pay to get that hour back, it's on our list.

02

Ship and iterate

A weekly release rhythm keeps disagreements cheap and feedback loops short. We'd rather ship the rough version of the right thing than the polished version of the wrong one.

03

AI as a multiplier

LLMs aren't the product — they're leverage over effort. We embed them where the ROI is measurable and obvious. Everywhere else, boring software wins.

Gdańsk, Poland — where Dimantika is built.
Gdańsk, Poland54.35° N, 18.65° E
About Dimantika

Founded in 2024, built in Gdańsk.

Dimantika Sp. z o.o. is a small Polish technology company. We build AI-assisted products end-to-end — from the research phase to the line of code that ships on a Tuesday.

Two founders, two products in active development, and a deliberate preference for doing less of anything that doesn't ship.

2024
Founded
Gdańsk
Poland · EU
2
Products shipping
Weekly
Release cadence
Read our story
People behind Dimantika

Two founders and one AI teammate.

We keep the team small on purpose. Every person here — including the AI one — has a specific thing they own.

Dzmitry Vladyka

Dzmitry Vladyka

Co-founder · Engineering

Writes the code that ships. Owns the product pipeline for ViralFaceless and the compliance engine behind CompliCode.

Anzhalika Vladyka

Anzhalika Vladyka

Co-founder · Operations

Runs operations, partnerships, and everything that keeps a two-product studio from collapsing under its own scope.

Lumik

AI teammate · CAO

Handles research, drafts, and the tedious middle of every project. Chief Automation Officer — the role that makes our principle a practice.

How we build

Practical engineering, not hype.

We pick boring infrastructure for load-bearing parts and interesting tools where they pay for themselves. Postgres for data. TypeScript for code. LLMs where the ROI is measurable, and never as decoration.

Fast iteration beats grand architecture every week. Ship the rough version, measure what happens, and earn the right to complicate things later.

TypeScriptNuxt 4Vue 3Tailwind 4PostgresPythonClaudeFastAPIRedisStripe
dimantika — how-we-build.sh
$# principles, not slogans
$echo "ship > plan"
→ ship > plan
$echo "boring infra, interesting products"
→ boring infra, interesting products
$echo "AI where the ROI is measurable"
→ AI where the ROI is measurable
$# 3 principles loaded · weekly releases · go.
$
Insights

Writing about what we learn building.

We publish what we actually figure out — AI automation that works, engineering decisions we'd do again, compliance patterns nobody else writes about.

Project Glasswing: The Patch Window Is Dead
AI & AutomationMay 2026

Project Glasswing: The Patch Window Is Dead

Project Glasswing found 10,000+ severe bugs with AI. Small SaaS teams need shorter patch loops, cleaner dependency inventory, and agent audit trails.

The 3 Moats That Survive Vibe-Coding
Startup OpsMay 2026

The 3 Moats That Survive Vibe-Coding

Anyone can vibe-code your app in an afternoon. Three moats still hold: distribution, network effects, and data partnerships. Here's which ones we're betting on.

AI SEO Agents Need Proof, Not More Posts
AI & AutomationMay 2026

AI SEO Agents Need Proof, Not More Posts

AI SEO is becoming an evidence operation, not a bulk publishing contest. Google says generative AI can help with research and structure, but scaled pages without added user value may violate its scaled content abuse policy (Google Search Central, 2025). The takeaway for founders is direct: feed your agent proof. That means Search Console patterns, real customer examples, source context, and a standing list of refresh tasks.

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Let's talk

Build something together.

Have a workflow that eats your team's hours? A product idea we should know about? A partnership that makes sense? Say hello — we reply within one business day.

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